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A web-based clinical risk calculator for predicting the risk of dysglycaemia in women with gestational diabetes mellitus 6 - 12 weeks postpartum.

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DataCite Commons2026-01-19 更新2026-05-05 收录
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https://www.scidb.cn/detail?dataSetId=f538c3511b3842e6a143fa22df519e97
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This dataset is derived from a prospective study aimed at developing and validating a risk prediction model for abnormal postpartum blood glucose in patients with gestational diabetes mellitus (GDM). The study was based on a cohort of Chinese GDM patients recruited at a hospital in Beijing from 2016 to 2023. A logistic regression model was used to construct the prediction tool, and a user-friendly R-Shiny web calculator was developed for real-time clinical risk assessment.Disclaimer:I. Nature of the ToolThis calculator is a non-profit academic research resource stored in ScienceDB. It is strictly prohibited from being used for any commercial, clinical diagnosis, engineering decision-making, or other high-risk scenarios. Users must not rely on the results as the sole basis for any legally binding or critical decisions.II. Accuracy DisclaimerThe developers do not guarantee the absolute accuracy or completeness of the algorithms or results. The results are theoretical values and may contain errors. The developers and the ScienceDB platform assume no legal liability for any direct or indirect losses resulting from the use (or inability to use) of this tool.III. User ObligationsUsers are responsible for verifying the model’s applicability to their specific research. If this tool is used in any publicly published research, proper citation of the dataset source (DOI/CSTR) is mandatory. Users must comply with the selected license agreement and not to use the tool maliciously or attempt to crack it.IV. Service TermsThis tool is provided on an “as is” basis. The developers and the platform reserve the right to modify or discontinue the service at any time without prior notice. No commitment is made regarding real-time technical support, and developers are not obligated to respond to feedback.
提供机构:
Science Data Bank
创建时间:
2026-01-12
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